Codebook

Dataset file name: sve-08_04_24.csv

Variables:

country.name - Country name

cown - Correlates of War country number

year - Year of observation

democracy - Status as a democracy in year of observation (from “Boix-Miller-Rosato Dichotomous Coding of Democracy, 1800-2020”)

democracy_duration - Years as a continuous democracy (from “Boix-Miller-Rosato Dichotomous Coding of Democracy, 1800-2020”)

gdppc - GDP per capita, from the World Bank

gini_disp - Post-fisc Gini estimate from SWIID

gini_disp_se - Post-fisc gini SE from SWIID

gini_mkt - Pre-fisc gini estimate from SWIID

gini_mkt_se - Pre-fisc gini SE from SWIID

elec.leg - Dummy for national legislative election in year of observation

elec.pres - Dummy for presidential election in year of observation

elec.any - Dummy for national election in year of observation

v2cacamps - Polarization, from V-dem v12

region - World region

sve - Dummy for stable democracy or eroder

erosion.strict - Dummy for erosion status in year of observation (from erosion spells identified by Laebens (2022). We do not include as eroders those cases that she adds without meeting the V-dem criteria. We code the first year of erosion as the year in which the eroder is elected (or assumes office if not directly elected to the presidency - for example, in the case of a VP assuming the presidency). If the eroder is later voted out of office, we code that election year as the first non-erosion year. (For example, in the United States, the years of 2016-2019 are erosion years: 2016 is an erosion year, because Donald Trump was elected this year; 2020 is a non-erosion year because, although Trump was still completing his term, voters elected the non-eroder Joe Biden in 2020).

eroder - Dummy for whether a country eroded at any point from 1995-2020

inc.top10 - Proportion of pre-tax income to top 10% (from WID)

inc.bot50 - Proportion of pre-tax income to bottom 50% (from WID)

inc.top1 - Proportion of pre-tax income to top 1% (from WID)

wealth.top10 - Proportion of wealth controlled by top 10% (from WID)

wealth.bot50 - Proportion of wealth controlled by bottom 50% (from WID)

wealth.top1 - Proportion of wealth controlled by top 1% (from WID)

wb.gini - Post-fisc gini estimate from World Bank

prs.ge - Bureaucratic quality (state capacity) from Political Risk Services

wiid.gini - Gini from WIID

wid.gini - Post-fisc gini estimate from WID

pre.wid.gini - Pre-fisc gini estimate from WID

v2smpolsoc - Alternative polarization variable, from V-dem v12